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Paper Abstract and Keywords
Presentation 2023-03-06 14:14
Investigation of efficient prompt engineering for video retrieval
Kazuya Suzuki, Akihiro Chiba, Kazuya Ueki (Meisei Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, Vision and Language technologies have been developed. In addition, the field of video retrieval has been developing along with it. In this study, we examined the accuracy of using Vision and Language techniques for video retrieval by changing the input query sentences. We conduct two types of validation: validation 1 "Adding a phrase at the beginning of a query sentence" and validation 2 "Adding an important word in a query sentence at the end or the beginning of a sentence". As a result, validation 2 "Adding important words in the query sentence to the end or the beginning of the sentence," was effective. "Adding the important words at the end of the sentence" improved the accuracy in many patterns. The result of validation 1 "Appending a phrase to the beginning of a query sentence" varied depending on the phrase. The phrases that improved accuracy were particularly effective for CLIP and SLIP. When two query sentences and a promptengineered sentence were used in the search, accuracy was improved in more query sentences, although the number of cases where accuracy was greatly improved was reduced.
Keyword (in Japanese) (See Japanese page) 
(in English) Vision and Language / Prompt Engineering / Video retrieval / / / / /  
Reference Info. ITE Tech. Rep., vol. 47, pp. 103-106, March 2023.
Paper #  
Date of Issue 2023-02-27 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2023-03-06 - 2023-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Polytechnic Univ. (Nakano) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2023 
Paper Information
Registration To IIEEJ 
Conference Code 2023-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of efficient prompt engineering for video retrieval 
Sub Title (in English)  
Keyword(1) Vision and Language  
Keyword(2) Prompt Engineering  
Keyword(3) Video retrieval  
1st Author's Name Kazuya Suzuki  
1st Author's Affiliation Meisei University (Meisei Univ.)
2nd Author's Name Akihiro Chiba  
2nd Author's Affiliation Meisei University (Meisei Univ.)
3rd Author's Name Kazuya Ueki  
3rd Author's Affiliation Meisei University (Meisei Univ.)
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Speaker Author-1 
Date Time 2023-03-06 14:14:00 
Presentation Time 12 minutes 
Registration for IIEEJ 
Paper # AIT2023-63 
Volume (vol) vol.47 
Number (no) no.9 
Page pp.103-106 
Date of Issue 2023-02-27 (AIT) 

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